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Game AI with decision models

Choosing moves, turns and strategies in games, usually one typed Choice per frame, junction or turn.

191 public projects · page 5 of 7

  • Jev beat Pokémon Red in 37h 40m over 16,150 decisions for about $1.65, picking every move from harness-listed legal options.

    ServiceprototypeTypeScript
  • AI town simulation forked from a16z ai-town where Jev picks each agent's next legal move and an LLM handles dialogue and memory.

    AppprototypeTypeScript
  • Twenty-questions game where Jev's confidence decides when to stop: it commits, hedges or refuses to guess.

    DemoprototypeTypeScript
  • Japanese quiz demo where Jev guesses which of AWS, Azure or Google Cloud a debranded service name belongs to, showing its probabilities.

    DemoprototypeTypeScript
  • Small demo collection testing Jev's spatial reasoning with maze single-step choices versus multi-step lookahead.

    AppprototypePython
  • Browser Doom experiment where two WebAssembly engines play from the same start and Jev picks tactical macros from structured state.

    ServiceprototypeTypeScript
  • Live demo where Jev plays Flappy Bird alone, answering flap or wait about twenty times a second with several requests in flight.

    AppprototypeTypeScript
  • MoonBit client for Jev with a CLI and a Jev-versus-Jev gomoku match, plus a tool turning timed game logs into GIFs.

    LibraryprototypeMoonBit
  • Game of Thrones roleplay where an LLM writes each scene and Jev labels location, beat, mood, danger and whether prose stayed in fiction.

    AppprototypeTypeScript
  • Local Snake game where code computes facts for each legal move and a local Qwen3.5 picks one in a single Jev-style Choice pass.

    AppprototypePython
  • WebGL card game Speed against a Jev-powered CPU, showing Jev's decision latency and accuracy against a rule validator in real time.

    AppprototypeJavaScript
  • Chromium T-Rex Runner game where Jev chooses jump, duck or keep running for each obstacle, plus short or full jump.

    DemoprototypeJavaScript
  • Streamlit Tetris demo where Jev picks one collision-checked placement ID and Python verifies cells before locking.

    AppprototypePython
  • 3D Magic 8 Ball you shake and release, where Jev chooses among the 20 classic answers and shows a probability for each.

    ServiceprototypeTypeScript
  • Desktop Snake where one Jev call per tick asks nine hazard and food questions for left, straight and right, and Python combines them.

    ServiceprototypePython
  • Terminal Sudoku where Python owns the rules and Jev picks one move per turn, solving easy boards but struggling once it must guess.

    DemoprototypePython
  • Experimental controller where Jev picks NES inputs for Super Mario Bros. from structured emulator RAM and telemetry, not screenshots.

    DemoprototypePython
  • MoonBit and TypeScript Jev playground: gomoku, shell-command risk gate, ESLint plugin, a tiny Jev-condition language and measured reports.

    AppresearchMoonBit
  • Experimental Minecraft bot where each TypeSafe decision picks one primitive action, which completed a 338-block flag build in recorded runs.

    AppresearchJavaScript
  • Open family of System One-style models fine-tuned from Qwen3.5 and Gemma that return typed decision probabilities in one pass.

    ModelbetaPython
  • Independent MLX port of Laya for Apple Silicon: typed decisions in about 13 ms (7 ms multilingual) with no PyTorch or cloud API.

    ServicebetaPython
  • Apache-2.0 395M ModernBERT System One model serving calibrated Choice, Noul and Score locally as a drop-in /v1/systemone replacement.

    ServicebetaPython, TypeScript
  • Deploys DiffusionGemma-Jev behind a TypeSafe-compatible API on a Cloud Run GPU, with snake, dino and tetris demos.

    ServiceprototypePython
  • Kotlin NES emulator whose agent plays Super Mario Bros. and Final Fantasy, with a local model choosing from the goals that apply each turn.

    ModelprototypeKotlin
  • Gemma 3 4B option scorer that prefills context once and scores all options in one pass, on MLX or PyTorch, with a Doom demo.

    ServiceprototypePython
  • Chinese local MLX demo that scores 2-5 candidate decisions with a small Qwen model and drives a Snake game by choosing among moves.

    ModelprototypePython
  • NanoJev★ 2,543

    0.6B open Jev replica returning full option distributions with no decoding; one checkpoint plays ViZDoom, Maze and Snake.

    ModelresearchPython
  • jev-visual★ 317

    Educational MLX project scoring typed questions about one image with Qwen3.5-0.8B on Apple Silicon, with game demos.

    ModelresearchPython
  • Reinforcement-learning lab where cached Jev judgments act as reward signals for DQN agents on four classic control and grid games.

    ModelresearchPython
  • Training library for a small one-pass model that scores a changing list of text options and returns a probability per option.

    LibraryresearchPython